Predetermined short-term net drains on foreign currency assets in Seychelles
Seychelles: Predetermined short-term net drains on foreign currency assets was -4.10 million in 2025. ◆ Volatile
Predetermined short-term net drains on foreign currency assets in Seychelles, 2011–2025
Source: International Monetary Fund.
Analysis
In 2025, predetermined short-term net drains on foreign currency assets in Seychelles stood at -4.10 million. That is the lowest value across all 15 years on record.
The figure is down 16.6% on the previous year and down 584.3% over ten years.
Over the whole period, predetermined short-term net drains on foreign currency assets in Seychelles peaked at -529,363 in 2016 and was at its lowest, -4.10 million, in 2025.
Seychelles ranks 20th of 85 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | -775,974 | -1.70 million | -529,363 | 9 |
| 2020s | -2.69 million | -4.10 million | -1.05 million | 6 |
Countries ranked near Seychelles
- 18 Croatia, Republic of -4,959 compare
- 19 New Zealand -344,454 compare
- 21 Austria -4.70 million compare
- 22 Mauritius -9.57 million compare
- 23 Thailand -10.08 million compare
More financial sector data for Seychelles
- Domestic credit to private sector by banks 34.5% (2025)
- Total reserves in months of imports 3.67 (2024)
- Net domestic credit 7.58 billion current LCU (2016)
- Net foreign assets 25.30 billion current LCU (2025)
- Monetary Sector credit to private sector 24.5% (2016)
- Broad money 84.7% (2025)
- Claims on central government, etc. 10.1% (2025)
- Domestic credit to private sector 24.5% (2016)
- Official exchange rate 14.73 LCU per US$, period average (2025)
- Net migration 1,590 (2025)
Frequently asked questions
- What is predetermined short-term net drains on foreign currency assets in Seychelles?
- Predetermined short-term net drains on foreign currency assets in Seychelles was -4.10 million in 2025, according to International Monetary Fund.
- What is the highest predetermined short-term net drains on foreign currency assets recorded in Seychelles?
- The highest recorded value was -529,363 in 2016.
- What is the lowest predetermined short-term net drains on foreign currency assets recorded in Seychelles?
- The lowest recorded value was -4.10 million in 2025.
- How does Seychelles rank for predetermined short-term net drains on foreign currency assets?
- Seychelles ranks 20th out of 85 countries with data for 2025.
- Is predetermined short-term net drains on foreign currency assets rising or falling in Seychelles?
- Over the last ten years it is down 584.3%. The long-run trend across the full record is volatile.
- Where does this Seychelles data come from?
- The figures come from International Monetary Fund, published as part of Predetermined short-term net drains on foreign currency assets (nominal value), Foreign currency loans, securities and deposits, interest, More than 1 and up to 3 months, Outflows (reserves template) (International Reserves and Foreign Currency Liquidity: Guidelines for a Data Template 2013 (IRFCL 2. Statizoid updates them automatically from the source API.
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About this data
The International Reserves and Foreign Currency Liquidity (IRFCL, or the “Reserves Data Template”) dataset includes data on the amount and composition of countries’ official reserve assets, other foreign currency assets held by monetary authorities and central governments, and short-term foreign currency obligations and related activities of monetary authorities and central governments that can lead to drains on official reserves and other foreign currency assets. This website re-disseminates IMF member countries' data on international reserves and foreign currency liquidity in a common template and in a common currency (the U.S. dollar). Historical data by country are also available. Please note that the re-dissemination of the template data by the Fund does not constitute endorsement of the quality of the data by the Fund.